The Impact of Poor Quality Data
Less than 40 percent of organizations believe the data they generate is relevant to the business strategy. Just over half consider their data to be “clean”, with regard to its consistency and accuracy.
While the vast majority of companies say they have systems in place to check accuracy, less than half use specialized software at the point of capture; fewer use software to clean up after collection. Many still use manual checking to ensure accuracy — surely a bad move when a majority blame human error for the bad data.
Clearly, despite all the investments made in SAP – there has been too little focus on the underlying data itself, and the architecture that gathers, stores, manages and delivers this vital raw material.
∼ Accenture Survey
Poor data quality depletes MILLIONS of dollars annually in wasted resources and expenses on operational inefficiencies, missed sales and unrealized new opportunities.
Gartner
One company reported that 80% of its ERP helpdesk tickets were related to data quality, where poor data blocked normal business processes.
Experian
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